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Record W4411465992 · doi:10.1111/tct.70116

Tensions in Patient and Family Partner Storytelling in Clinical Education: Navigating the Who, What and How of Knowing

2025· article· en· W4411465992 on OpenAlexafffundabout
Qian Wu, Latika Nirula, Helen Sklarz, Brett A. Diaz, Sacha Agrawal

Bibliographic record

VenueThe Clinical Teacher · 2025
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsCentre for Addiction and Mental HealthThe Wilson CentrePublic Health OntarioUniversity of TorontoCentre for Global Health ResearchSt. Michael's Hospital
FundersTemerty Faculty of Medicine, University of TorontoUniversity of Toronto
KeywordsReflexivityStorytellingInclusion (mineral)Thematic analysisNegotiationPsychologyPower (physics)NarrativeSociologySocial psychologyQualitative research

Abstract

fetched live from OpenAlex

INTRODUCTION: Increasingly, patient and family partners (PFPs) are asked to tell their stories in clinical education. Recognizing that current inclusion practices may not meaningfully shift power relations among PFPs, clinical teachers and learners, we sought to understand how power influences PFP storytelling in clinical education, with a focus on the tensions that PFPs may experience related to the knowledge that they hold and their status as knowers. METHODS: We recruited 11 PFP volunteers from an academic hospital in Toronto, Canada, to share their personal healthcare story in response to a prompt, participate in a semistructured interview and complete an online demographic survey. We used reflexive thematic analysis to gain insights into knowledge-related tensions that participants grappled with when creating their stories for clinical education. RESULTS: Our findings illustrate the tensions PFP storytellers experienced regarding their identities as knowers, their lived experience as valid knowledge and acceptable ways to share their knowledge in the contexts of clinical education. PFP storytellers had to negotiate their identities as knowers, seek an epistemic space for their lived experience and balance their personal emotions with social expectations of how one should or should not feel and express emotion. CONCLUSIONS: We argue that meaningful, equitable and ethical inclusion of PFPs and their stories in clinical education requires renewed understandings of and approaches to the knowledge that PFPs hold and share in clinical education.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.096
GPT teacher head0.442
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes3
Has abstractyes

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